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Bookmark or Share- Stanford Center for AI Safety Affiliates Program - Stanford UniversityThe Center for AI Safety covers three broad topics: 1) Formal Techniques for AI Safety a) Formal specifications for systems with AI components b) Verification of systems with AI components c) Analysis of adversarial robustness d) Automatic test-case generation 2) Learning and Control for AI Safety
- Stanford Center for AI Safety - Stanford Universityanalyzing safety of the AI-based systems at all levels. One goal of the center is to formally specify desirable, unexpected, and malicious properties of these systems. Another goal is to understand the trade-offs between safety and other de-sirable properties. For instance, an unmanned aircraft needs to decide be-
- Stanford AI Safety - Stanford UniversitySHAIL: Safety-aware hierarchical adversarial imitation learning for autonomous driving in urban environments. Jamgochian, A.; Buehrle, E.; Fischer, J.; and Kochenderfer, M. J. In IEEE International Conference on Robotics and Automation (ICRA) , 2023.
- Stanford AI SafetyThe mission of the Stanford Center for AI Safety is to develop rigorous techniques for building safe and trustworthy AI systems and establishing confidence in their behavior and robustness, thereby facilitating their successful adoption in society.
- Stanford Center for AI Safety Affiliates ProgramS tanfo rd Ce nte r fo r A I S afet y A ff i l i ate s P ro g ram DorsaSadigh,ComputerScienceandElectricalEngineering: Design ...
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